Fire Fighting Access Surface No-Parking Recognition Algorithm

In modern urban traffic management, the supervision of the no-parking areas on the fire fighting access surface is of vital importance. However, the traditional manual inspection method is inefficient and prone to omissions. Nowadays, by combining UAV technology with the no-parking recognition algorithm for the fire fighting access surface, a comprehensive intelligent supervision network can be established. Through deep learning, this algorithm can accurately identify the vehicle parking situation in the UAV images, quickly determine whether the vehicles are parked illegally, and mark relevant information. Compared with manual recognition, it has higher efficiency and accuracy. The UAV equipped with the no-parking recognition algorithm can fly autonomously according to the preset route, conduct real-time monitoring of key areas such as the surroundings of communities, schools, and hospitals, promptly detect illegal parking behaviors and issue warnings, and provide a basis for rapid handling by the management department. This algorithm is easy to integrate into the UAV inspection system, requires no additional hardware investment, and its optimized design enables it to run efficiently on different platforms, reducing the deployment and maintenance costs. With the improvement of UAV technology, its application scenarios will be further expanded, providing strong support for the construction of intelligent transportation.